Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/9519

Title: Semantic web in manufacturing
Authors: Khilwani, Nitesh
Harding, Jennifer A.
Choudhary, Alok K.
Keywords: Manufacturing
Web technology
Ontology
Semantic web
Protege
Issue Date: 2009
Publisher: Professional Engineering Publishing © IMechE
Citation: KHILWANI, N., HARDING, J.A. and CHOUDHARY, A.K., 2009. Semantic web in manufacturing. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223 (7), pp. 905-925
Abstract: Advances in manufacturing systems include attempts to create collaborative networks for enterprise integration and information interoperability. To achieve collaboration and sharing effectively, various networking technologies have been proposed in the literature. The web has emerged as a basic entity for interconnecting man and machine and almost all parts of the enterprise Community are being reshaped to exploit the opportunities that it offers. Apart from web technology, there are various other tools and techniques that have attracted research communities for representing data in ways that both machines and humans can understand. Semantic web, the second-generation web technology, is enriched by machine-processable information to support the users in their tasks. This paper presents the vision of the semantic web and describes ontologies and associated metadata as the building blocks of the semantic web. it reviews the literature dealing with the application of the semantic web and ontology in the broad domain of manufacturing. First, brief details about key enablers, i.e. web services, semantic web, semantic services, and ontology, are presented. Then the implementation of these approaches in different sectors of manufacturing is discussed. A knowledge base for all the information resources concerned with the manufacturing domain is also built up in this paper. An ontology model for a knowledge base of information resources is designed in Protege software, which can be used for storing and searching information about authors, journals, blogs, newspapers, and many other sources of information.
Description: This article was published in the journal Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture [Sage © IMechE]. The definitive version is available at: http://pib.sagepub.com/content/223/7/905
Version: Published
DOI: 10.1243/09544054JEM1399
URI: https://dspace.lboro.ac.uk/2134/9519
Publisher Link: http://dx.doi.org/10.1243/09544054JEM1399
ISSN: 0954-4054
2041-2975
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

Files associated with this item:

File Description SizeFormat
Semantic.pdf607.53 kBAdobe PDFView/Open

 

SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.